Evidence map›Paper›PMID 33036407›Full record

Observational studyInternational journal of environmental research and public health2020

Quantifying the Treatment Effect of Kidney Transplantation Relative to Dialysis on Survival Time: New Results Based on Propensity Score Weighting and Longitudinal Observational Data from Sweden.

Ye Zhang, Ulf-G Gerdtham, Helena Rydell, Johan Jarl

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Xenotransplantation in Nephrology: A Narrative Review.Journal of personalized medicine · 2026
    Review
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Women's Access to Kidney Transplantation in France: A Mixed Methods Research Protocol.International journal of environmental research and public health · 2022
    Article
  9. Review
  10. Kynurenine pathway in kidney diseases.Pharmacological reports : PR · 2022
    Review
  11. Editorial: Equity in Transplantation: A Commitment for Progress in Troubled Times.Transplant international : official journal of the European Society for Organ Transplantation · 2022
    Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Ye ZhangSchool of Sociology and Population Studies, Renmin University of China, Beijing 100872, China.
Ulf-G GerdthamHealth Economics Unit, Department of Clinical Sciences, Malmö, Lund University, 22381 Lund, Sweden.
Helena RydellDepartment of Clinical Sciences Intervention and Technology, Karolinska Institute, 17177 Huddinge, Sweden.
Johan JarlHealth Economics Unit, Department of Clinical Sciences, Malmö, Lund University, 22381 Lund, Sweden.
Lund University · SEKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using observational data to assess the treatment effects on outcomes of kidney transplantation relative to dialysis for patients on renal replacement therapy is challenging due to the non-random selection into treatment. This study applied the propensity score weighting approach in order to address the treatment selection bias of kidney transplantation on survival time compared with dialysis for patients on the waitlist. We included 2676 adult waitlisted patients who started renal replacement therapy in Sweden between 1 January 1995, and 31 December 2012. Weibull and logistic regression models were used for the outcome and treatment models, respectively. The potential outcome mean and the average treatment effect were estimated using an inverse-probability-weighted regression adjustment approach. The estimated survival times from start of renal replacement therapy were 23.1 years (95% confidence interval (CI): 21.2-25.0) and 9.3 years (95% CI: 7.8-10.8) for kidney transplantation and dialysis, respectively. The survival advantage of kidney transplantation compared with dialysis was estimated to 13.8 years (95% CI: 11.4-16.2). There was no significant difference in the survival advantage of transplantation between men and women. Controlling for possible immortality bias reduced the survival advantage to 9.1-9.9 years. Our results suggest that kidney transplantation substantially increases survival time compared with dialysis in Sweden and that this consequence of treatment is equally distributed over sex.

Indexed as

Kidney Failure, ChronicKidney TransplantationRenal DialysisAdultAgedFemaleHumansMaleMiddle AgedPropensity ScoreSurvival AnalysisSwedenaverage treatment effectdialysisinverse-probability-weighted regression adjustment approachkidney transplantationsurvival timeSweden

Identifiers

PMID33036407
PMCPMC7578980
OpenAlexW3091931922

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.